What you’ll learn
This course teaches participants the following skills:
Configure VPC networks and virtual machines
Administer Identity and Access Management for resources
Implement data storage services in GCP
Manage and examine billing of GCP resources
Monitor resources using Stackdriver services
Connect your infrastructure to GCP
Configure load balancers and autoscaling for VM instances
Automate the deployment of GCP infrastructure services
Leverage managed services in GCP
Google Cloud at DDLS
DDLS is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, DDLS can support you through training wherever you are in your Cloud adoption journey.
Stay ahead of the technology curve
Don’t let your tech outpace the skills of your people
Quality instructors and content
Expert instructors with real world experience and the latest vendor- approved in-depth course content.
Chosen and awarded by the world’s leading vendors as preferred training partner.
Ahead of the technology curve
No matter your chosen technologies or platforms, we can help you stay one step ahead.
Who is the course for?
This course is intended for the following participants:
Cloud Solutions Architects, DevOps Engineers
Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine.
Module 1: Introduction to Google Cloud
List the different ways of interacting with Google Cloud.
Use the Cloud Console and Cloud Shell.
Create Cloud Storage buckets.
Use the Google Cloud Marketplace to deploy solutions.
Module 2: Virtual Networks
List the VPC objects in Google Cloud.
Differentiate between the different types of VPC networks.
Implement VPC networks and firewall rules.
Implement Private Google Access and Cloud NAT.
Module 3: Virtual Machines
Recall the CPU and memory options for virtual machines.
Describe the disk options for virtual machines.
Explain VM pricing and discounts.
Use Compute Engine to create and customize VM instances.
Module 4: CloudIAM
Describe the Cloud IAM resource hierarchy.
Explain the different types of IAM roles.
Recall the different types of IAM members.
Implement access control for resources using Cloud IAM.
Module 5: Storage and Database Services
Differentiate between Cloud Storage, Cloud SQL, Cloud
Spanner, Cloud Firestore and Cloud Bigtable.
Choose a data storage service based on your requirements.
Implement data storage services.
Module 6: Resource Management
Describe the cloud resource manager hierarchy.
Recognize how quotas protect Google Cloud customers.
Use labels to organize resources.
Explain the behavior of budget alerts in Google Cloud.
Examine billing data with BigQuery.
Module 7: Resource Monitoring
Describe the services for monitoring, logging, error reporting, tracing, and debugging.
Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
Use Cloud Debugger to identify and fix errors.
Module 8: Interconnecting Networks
Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
Determine which Google Cloud interconnect or peering service to use in specific circumstances.
Create and configure VPN gateways.
Recall when to use Shared VPC and when to use VPC Network Peering.
Module 9: Load Balancing and Autoscaling
Recall the various load balancing services.
Determine which Google Cloud load balancer to use in specific circumstances.
Describe autoscaling behavior.
Configure load balancers and autoscaling.
Module 10: Infrastructure Modernization
Automate the deployment of Google Cloud services using
Deployment Manager or Terraform.
Outline the Google Cloud Marketplace.
Module 11: Managed Services
To get the most out of this course, participants should have:
Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience
Basic proficiency with command-line tools and Linux operating system environments
Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment
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